Logo - springer
Slogan - springer

Statistics | Behaviormetrika

Behaviormetrika

Behaviormetrika

Editor-in-Chief: Maomi Ueno

ISSN: 0385-7417 (print version)
ISSN: 1349-6964 (electronic version)

Journal no. 41237

Special issue on “Dimension Reduction and Cluster Analysis” 

Special issue on “Functional data analysis and its applications” 

Special issue on "Advances in Composite-based Structural Equation Modeling"  

Special issue on "Theory and practice in clinical and epidemiological data analysis" 

Read this Journal on Springerlink

For authors and editors

  • Aims and Scope

    Aims and Scope

    Close

    Behaviormetrika is issued twice a year to provide an international forum for new theoretical and empirical quantitative approaches in data science. When Behaviormetrika was launched in 1974, the journal advocated data science, as an interdisciplinary field that included the use of statistical methods to extract meaningful knowledge from data in its various forms: structured or unstructured. Behaviormetrika is the oldest journal addressing the topic of data science. The first editor-in-chief of Behaviormetrika, Dr. Chikio Hayashi, described data science in this way:

    “Data science is not only a synthetic concept to unify statistics, data analysis, and their related methods; it also comprises its results. Data science is intended to analyze and understand actual phenomena with ‘data.’ In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human, and social phenomena using data from a different perspective from the established or traditional theory and method.”  

    Behaviormetrika is a fully refereed international journal, which publishes original research papers, notes, and review articles. Subject areas suitable for publication include but are not limited to the following methodologies and fields. 

    Methodologies

    -Data science

    -Mathematical statistics

    -Survey methodologies

    -Artificial intelligence

    -Information theory

    -Machine learning

    -Knowledge discovery in databases (KDD)

    -Graphical models

    -Computer science

    -Algorithms

     

    Fields

    -Medicine         

    -Psychology

    -Education

    -Economics

    -Marketing

    -Social science

    -Sociology

    -Political science

    -Policy science

    -Cognitive science

    -Brain science

  • Submit Online
  • Open Choice - Your Way to Open Access
  • Instructions for Authors

    Instructions for Authors

    Close

Alerts for this journal

 

Get the table of contents of every new issue published in Behaviormetrika.